Instructions to use FinText/TimesFM_8M_2004_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2004_Augmented with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2004_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2004_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from FinText/TimesFM_8M_2004_Augmented: direct link, hf CLI and curl.
- Browser
- Download file 645 Bytes
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https://huggingface.co/FinText/TimesFM_8M_2004_Augmented/resolve/main/README.md
- Command line
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hf download hf://FinText/TimesFM_8M_2004_Augmented/README.md
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curl -L -o README.md https://huggingface.co/FinText/TimesFM_8M_2004_Augmented/resolve/main/README.md
645 Bytes
metadata
pipeline_tag: time-series-forecasting
license: apache-2.0
tags:
- TSFM
- Finance
- Financial Forecasting
- FinText
library_name: transformers
TimesFM-8M (TSFM) โ Augmented (2004)
This is the Time Series Foundation Model (TSFM), pre-trained on augmented financial time series data up to the year 2004 using the TimesFM architecture (8M). The dataset spans from 1990โ2004 and includes augmented data.
๐ Related Links